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OpenAI: Text Embedding 3 Large

openai/text-embedding-3-large

Created Oct 30, 20258,192 context
$0.13/M input tokens$0/M output tokens

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

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Recent activity on Text Embedding 3 Large

Total usage per day on OpenRouter

Prompt
249M
Completion
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.